Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
comprehensive understanding of aerosol-cloud-interactions. This will be achieved by using a state-of-the-art modelling framework with extensive, systematic, and simultaneous in situ and remote sensing airborne
-
available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
-
the present day, and how they might change in the future. The overarching objectives are to:- (i) utilize in-situ and remote sensing observations and synergistic multi-scale modelling to improve our
Searches related to phd remote sensing
Enter an email to receive alerts for phd-remote-sensing positions